Baseline characteristics, management practices, and in-hospital outcomes of patients with acute coronary syndromes: Results of the Saudi project for assessment of coronary events (SPACE) registry
Bibliographic record
Abstract
OBJECTIVES: The Saudi Project for Assessment of Coronary Events (SPACE) registry is the first in Saudi Arabia to study the clinical features, management, and in-hospital outcomes of acute coronary syndrome (ACS) patients. METHODS: We conducted a prospective registry study in 17 hospitals in Saudi Arabia between December 2005 and December 2007. ACS patients included those with ST-elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction and unstable angina; both were reported collectively as NSTEACS (non-ST elevation acute coronary syndrome). RESULTS: 5055 patients were enrolled with mean age ± SD of 58 ± 12.9 years; 77.4% men, 82.4% Saudi nationals; 41.5% had STEMI, and 5.1% arrived at the hospital by ambulance. History of diabetes mellitus was present in 58.1%, hypertension in 55.3%, hyperlipidemia in 41.1%, and 32.8% were current smokers; all these were more common in NSTEACS patients, except for smoking (all P < 0.0001). In-hospital medications were: aspirin (97.7%), clopidogrel (83.7%), beta-blockers (81.6%), angiotensin converting enzyme inhibitors/angiotensin receptor blockers (75.1%), and statins (93.3%). Median time from symptom onset to hospital arrival for STEMI patients was 150 min (IQR: 223), 17.5% had primary percutaneous coronary intervention (PCI), 69.1% had thrombolytic therapy, and 14.8% received it at less than 30 min of hospital arrival. In-hospital outcomes included recurrent myocardial infarction (1.5%), recurrent ischemia (12.6%), cardiogenic shock (4.3%), stroke (0.9%), major bleeding (1.3%). In-hospital mortality was 3.0%. CONCLUSION: ACS patients in Saudi Arabia present at a younger age, have much higher prevalence of diabetes mellitus, less access to ambulance use, delayed treatment by thrombolytic therapy, and less primary PCI compared with patients in the developed countries. This is the first national ACS registry in our country and it demonstrated knowledge-care gaps that require further improvements.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".